Author

Thijessen Naidoo

Stockholm UniversityORCID 0009-0009-3553-0718Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Bioinformatics· 2

Signature Assays, Organisms & Methods

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Approach:statistical model· 2 Research Focus:benchmarking· 1 Research Focus:clustering· 1 Research Focus:differential expression· 1 Approach:experimental assay· 1 Research Focus:gene regulatory network inference· 1 Assay:metagenomics· 1 Research Focus:software / tool· 1

Frequent Co-Authors

Anders GötherströmiD· 1 shared Claudio MirabelloiD· 1 shared Emrah KırdökiD· 1 shared Erkin AlaçamlıiD· 1 shared Helena MalmströmiD· 1 shared Igor MapelliiD· 1 shared Kıvılcım Başak VuraliD· 1 shared Love DaléniD· 1 shared

Activity by Year

2023-2024 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 21 mutual co-author links

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1 shared paperBioinformatics

Anders GötherströmORCID

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2 papers

Recent·Most cited

BioinformaticsbioRxivPreprintJan 23, 2024

READv2: Advanced and user-friendly detection of biological relatedness in archaeogenomics

Erkin Alaçamlı, Thijessen Naidoo, Şevval Aktürk…·Torsten Günther

READv2 improves ancient DNA relatedness analysis by being faster, more accurate, and easier to use than previous methods.

13 citations

whole-genome sequencingstatistical model

𝕏 PostBluesky

BioinformaticsGenome biologyPeer-reviewedOct 23, 2023

aMeta: an accurate and memory-efficient ancient Metagenomic profiling workflow

Zoé Pochon, Nora Bergfeldt, Emrah Kırdök…·Nikolay Oskolkov

aMeta is a metagenomic profiling workflow that improves accuracy and reduces memory usage in ancient microbiome analysis.

65 citationstop 2%

metagenomicsstatistical model

𝕏 PostBluesky